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1. Introduction and Background The aim of research, in its broadest sense, is to advance knowledge by posing problems and developing insights that, when organised and put into practice, can lead to progress. Research in the real estate sector has organised knowledge, created a strong theoretical framework, solved problems, and, more recently, investigated new technologies and techniques to expand theories of appraisal and valuation.
6.2. Feature Importance Analysis The neighbourhood and construction regressors on which the market value depends are manifold. This vast amount of information may be hard to synthesise in a regression analysis. Only some regressors have the same impact on price prediction, and the less impactful variables could be excluded from the inferential statistics. A feature importance analysis allows us to understand each independent variable’s impact on the forecast.
6. Dealing with Uncertainty The DCFA conducted in produced the best estimate of the NPV of the cash flows due to the energy retrofit measures applied to the building asset. The NPV assessment, however, depends on a plethora of variables that may differ from the figures predicted by the valuer (in this case, the authors of the paper) to the best of the knowledge available at the time of the estimate.
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